Intent detection using semantically enriched word embeddings

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Towards Open Intent Discovery for Conversational Text (2019, methodology): “Performing slot filling jointly with intent detection has improved the performance of both tasks [22, 31, 52].”
Seq2Seq and Multi-Task Learning for joint intent and content extraction for domain specific interpreters (2018, background): “Although these solutions often have better results than letter-encoding [4], we found that the later worked very well for our application [5].”
Semantic Specialisation of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints (2017, background): “, 2017), spoken language understanding (Kim et al., 2016b; Kim et al., 2016a) and”